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- W3002152281 endingPage "427" @default.
- W3002152281 startingPage "411" @default.
- W3002152281 abstract "Most words are ambiguous: Individual word forms (e.g., run) can map onto multiple different interpretations depending on their sentence context (e.g., the athlete/politician/river runs). Models of word-meaning access must therefore explain how listeners and readers can rapidly settle on a single, contextually appropriate meaning for each word that they encounter. I present a new account of word-meaning access that places semantic disambiguation at its core and integrates evidence from a wide variety of experimental approaches to explain this key aspect of language comprehension. The model has three key characteristics. (a) Lexical-semantic knowledge is viewed as a high-dimensional space; familiar word meanings correspond to stable states within this lexical-semantic space. (b) Multiple linguistic and paralinguistic cues can influence the settling process by which the system resolves on one of these familiar meanings. (c) Learning mechanisms play a vital role in facilitating rapid word-meaning access by shaping and maintaining high-quality lexical-semantic knowledge throughout the life span. In contrast to earlier models of word-meaning access, I highlight individual differences in lexical-semantic knowledge: Each person’s lexicon is uniquely structured by specific, idiosyncratic linguistic experiences." @default.
- W3002152281 created "2020-01-30" @default.
- W3002152281 creator A5064971090 @default.
- W3002152281 date "2020-01-21" @default.
- W3002152281 modified "2023-10-13" @default.
- W3002152281 title "Settling Into Semantic Space: An Ambiguity-Focused Account of Word-Meaning Access" @default.
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- W3002152281 doi "https://doi.org/10.1177/1745691619885860" @default.